Historical news about this contribution
Background and objective
The 2019 Fraunhofer IAO study examined AI in business practice and its effects on services and production. A survey of 309 companies provides a major part of its evidence. Alongside technical applications, it considers work, staffing, management and the conditions needed to introduce AI.
Approach and context
The value of this kind of study lies in combining a wider overview with examples from practice. Readers can assess their own position and identify organisational questions involved in AI adoption. The experiences and survey findings relate to the investigation period and provide a historical basis for further discussion.
Hawk’s contribution
The study “Künstliche Intelligenz in der Unternehmenspraxis – Auswirkungen auf Dienstleistung und Produktion” (Artificial intelligence in business practice – effects on services and production) is based on a survey of 309 companies. Our solution for AI-supported staff and shift planning is included in it.
What this means in practice
For workforce and shift planning, a central question is how decision support fits everyday work. What information does a planner need, who evaluates a proposal and how do responsibilities change? Hawk’s documented contribution illustrates an application context. The original study lets readers assess it alongside the wider investigation.
Questions for your own planning
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Which planning decision needs support, and who is responsible for it?
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Which requirements, skills and operational rules must be considered together?
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How are employees involved and proposals evaluated in everyday work?
The original sources document the research project or publication at the time. This context connects the historical contribution with the questions facing today’s planning teams.